BEST RENTAL VACATION LLC

Buy and hold active in Orlando-Kissimmee-Sanford, FL. 6 acquisitions, $2.86M tracked volume, $477,252 average price, latest observed Dec 2024.

Orlando-Kissimmee-Sanford, FLbuy-and-holdorganization
0% cash1 observed lender$477,252 avgLatest Dec 2024

Investor profile snapshot

BEST RENTAL VACATION LLC is a buy-and-hold real estate investor active in Orlando-Kissimmee-Sanford, FL with 6 recorded acquisitions totaling approximately $2,863,510. Recorded purchases span 2 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in December 2024, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Condo, Single Family Residential, and Townhouse. Average observed purchase price sits near $477,252, which reads as upper-mid-market acquisition pricing. Behavioral signals point to a noticeable resale or short-hold component and frequent private-lender financing within the recorded deed activity.

Observed window
November 2024 to December 2024

A relatively short observed acquisition window so far

Latest recorded purchase
December 2024

Still fairly recent, even if buying pace may be uneven

Market footprint
1 state / 2 metros

Activity appears concentrated in a narrower local market footprint

Strategy read
Private-lender active

Derived from observed cash, financing, and flip-like transaction patterns

About this profile

SFR Analytics builds investor profiles from observed deed, mortgage, and assessor records. Use these metrics to compare acquisition patterns, market footprint, and financing signals across investors. Public-record coverage and entity resolution vary by county, so counts represent observed activity in our dataset rather than a complete legal ownership record.

Transaction Summary

6
Transactions
6
Properties
$2.86M
Total Volume
$477,252
Average Price

Property Types

CondoObserved
Single Family ResidentialObserved
TownhouseObserved
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Financing Signal

Recorded mortgage data links this profile to 1 observed lender. The public page shows a sample; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

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Showing 1 of 1 observed lender relationship.

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T Y Mortgage LLC

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Lenders

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does BEST RENTAL VACATION LLC focus on?

Public records associated with BEST RENTAL VACATION LLC show activity in Condo, Single Family Residential, Townhouse across Orlando-Kissimmee-Sanford, FL.

How many properties are associated with BEST RENTAL VACATION LLC?

Public records show approximately 6 properties and 6 recorded transactions associated with BEST RENTAL VACATION LLC in this dataset.

Which lenders has BEST RENTAL VACATION LLC worked with?

Recent recorded mortgage activity references T Y Mortgage LLC. Full lender history is available in SFR Analytics.

How recent is BEST RENTAL VACATION LLC's activity?

Records show activity in 2024, with the most recent observed purchase recorded in December 2024.

Where is BEST RENTAL VACATION LLC active?

Recorded activity is concentrated in Orlando-Kissimmee-Sanford, FL, with footprint across 1 state and 2 metros in this dataset.

How is associated activity determined?

SFR Analytics matches recorded deeds, mortgages, and assessor records across counties to assemble investor-level activity profiles. Matches use name normalization, address co-occurrence, and entity signals from public records. Profiles are directional - they reflect what is observable in deed-backed data and may not capture every off-record transaction or affiliated entity.

Data sources & methodology

SFR Analytics builds these profiles from recorded deeds, mortgages, assessor records, and entity matching. They are designed for market research: comparing acquisition activity, property focus, market footprint, and financing signals across investors. Coverage varies by county and record type, so counts reflect observed activity in our dataset.